Google AI Blog: February 2016

And the winner of the $1 Million Little Box Challenge is…CE+T Power’s Red Electrical Devils

Monday, February 29, 2016

Posted by Ross Koningstein, Engineering Director Emeritus, Google ResearchIEEELittle Box ChallengeIEEE Power Electronics Society18 finalists were selectedNational Renewable Energy Laboratory

CE+T PowerBelgium’s national soccer teamSchneider ElectricVirginia Tech’s Future Energy Electronics Center

CE+T Power’s Red Electrical Devils receive $1 Million Little Box Challenge Prize

100 hours of testing at NRELARPA-E Energy Innovation Summit

which is more than 10 times more compact than commercially available invertersOur takeaway: Establish a worthy goal and smart people will exceed it!Little Box Challenge

On the Personalities of Dead Authors

Wednesday, February 24, 2016

Posted by Marc Pickett, Software Engineer, Chris Tar, Engineering Manager and Brian Strope, Research Scientist
“Great, ice cream for dinner!”Natural Language UnderstandingProject GutenbergDeep Neural Network

word vectorsparagraph vectors

A two-dimensional representation of the vector embeddings for some of the authors in our study. To project the 300 dimensional vectors to two dimensions, we used the t-SNE algorithm. Note that contemporaries and influencers tend to be near each other (E.g., Nathaniel Hawthorne and Herman Melville, or Marlowe and Shakespeare).

here's the complete listthis UPenn studySmart Reply feature

Google Science Fair 2016: #howcanwe make things better with science?

Tuesday, February 23, 2016

Posted by Olivia Hallisey, 2015 Grand Prize winner, Google Science Fair
(Cross-posted from the Google for Education blog.)Editor's note: The 2016 Google Science Fair opens for submissions today. Together with LEGO Education, National Geographic, Scientific American and Virgin Galactic, we’re inviting all young explorers and innovators to make something better through science and engineering. To learn more about the competition, how to enter, prize details and more, visit the site, and follow along on Google+ and Twitter. In this post, 2015 Grand Prize winner, Olivia Hallisey, joins us to reflect back on her own experience with Google Science Fair.

Make Better Generatorhelpful ideasconversationenter the Google Science Fair this year

Exploring the Intersection of Art and Machine Intelligence

Monday, February 22, 2016

Posted by Mike Tyka, Software Engineerpublished a storystrange, wonderful and oddly compelling imageswe released the source codewitnessed a tremendous interestAmanda PetersonMemo AktenSamim WinigerKyle McDonaldGene Kogan

“GCHQ”, 2015, Memo Akten, used with permission.

A Neural Algorithm of Artistic StyleexperimentingTwitter botsexplorationsexperiments

The style transfer algorithm crosses a photo with a painting style; for example Neil deGrasse Tyson in the style of Kadinsky’s Jane Rouge Bleu. Photo by Guillaume Piolle, used with permission.

GitXivfurther

“Saxophone dreams” - Mike Tyka.

Machine learning and arta similar programArtificial IntelligenceGray Area Foundation for the Arts

Friday Feb 26th: DeepDream: The Art of Neural Networks, an exhibit consisting of 29 neural network generated artworks, created by artists at Google and from around the world. The works will be auctioned, with all proceeds going to the Gray Area Foundation, which has been active in supporting the intersection between arts and technology for over 10 years.

On Saturday Feb 27th: Art and Machine Learning Symposium, an open one-day symposium on Machine Learning and Art, aiming to bring together the neural network and the creative coding communities to exchange ideas, learn and discuss. Videos of all the talks will be posted online after the event.

Text-to-Speech for Low-Resource Languages (Episode 3): But can it say “Google”?

Friday, February 19, 2016

Posted by Martin Jansche, Software Engineer, Google Research for Low Resource LanguagesThis is the third episode in the series of posts reporting on the work we are doing to build text-to-speech (TTS) systems for low resource languages. In the first episode, we described the crowdsourced acoustic data collection effort for Project Unison. In the second episode, we described how we built parametric voices based on that data. In this episode, we look at how we are compiling a pronunciation lexicon for a TTS system.gather sufficient datatrain a statistical parametric voiceInternational Phonetic AlphabetBengali scriptBengali phonology

an earlier versionin use at Google for several yearsBengali pronunciation dictionaryCreative Commons License (CC BY 4.0)

Running your models in production with TensorFlow Serving

Tuesday, February 16, 2016

Posted by Noah Fiedel, Software Engineerspeech recognition in the Google appSmart Reply in Inboxsearch in Google Photosnew and interesting challengesTensorFlow ServingTensorFlow

TensorFlow Serving

model lifecycle management

experiments with multiple algorithms

efficient use of GPU resources

run experiments

validation

remote procedure callgRPC

machinequestionsfeature requestsgithub.com/tensorflow/servingtutorial@googleresearch+ResearchatGoogleJeff DeanGCP Next 2016

Google Research Awards: Fall 2015

Friday, February 12, 2016

Posted by Maggie Johnson, Director of Education and University RelationsPlease Note: Due to changes in the program, the new deadline for the 2016 Google Faculty Research Awards is September 30th, 11:59 PM PDT, and not October 15th, as shown below.Google Research Awardsrecipients of this round’s awardsour website

Announcing the Google Internet of Things (IoT) Technology Research Award Pilot

Wednesday, February 10, 2016

Posted Vint Cerf, Chief Internet Evangelist, and Max Senges, Google Research Internet of Things¹Internet of Things (IoT) Technology Research Award Pilot

Google beacon platform - consisting of the open beacon format Eddystone and various client and cloud APIs, this platform allows developers to mark up the world to make your apps and devices work smarter by providing timely, contextual information.

Physical Web - based on the Eddystone URL beacon format, the Physical Web is an approach designed to allow any smart device to interact with real world objects - a vending machine, a poster, a toy, a bus stop, a rental car - and not have to download an app first.

Nearby Messages API - a publish-subscribe API that lets you pass small binary payloads between internet-connected Android and iOS devices as well as with beacons registered with Google's proximity beacon service.

Brillo & Weave - Brillo is an Android-based embedded OS that brings the simplicity and speed of mobile software development to IoT hardware to make it cost-effective to build a secure smart device, and to keep it updated over time. Weave is an open communications and interoperability platform for IoT devices that allows for easy connections to networks, smartphones (both Android and iOS), mobile apps, cloud services, and other smart devices.

OnHub router - a communication hub for the Internet of Things supporting Bluetooth® Smart Ready, 802.15.4 and 802.11a/b/g/n/ac. It also allows you to quickly create a guest network and control the devices you want to share (see On.Here).

Google Cloud Platform IoT Solutions - tools to scale connections, gather and make sense of data, and provide the reliable customer experiences that IoT hardware devices require.

Chrome Boxes & Kiosk Apps - provides custom full screen apps for a purpose-built Chrome device, such as a guest registration desk, a library catalog station, or a point-of-sale system in a store.

Vanadium - an open-source framework designed to make it easier to develop secure, multi-device user experiences, with or without an Internet connection.

Ubiquity Dev Summit playlistPlease submit your proposal here
1 The same eligibility conditions as for the Faculty Research Award Program apply - see here.^↩

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